File: C.a.r.l.v1.0.zip ... Apr 2026

: CaRL: Learning Scalable Planning Policies with Simple Rewards

The zip file typically contains the codebase and pre-trained weights for the following:

: Proceedings of the Conference on Robot Learning (CoRL), 2025 File: C.A.R.L.v1.0.zip ...

: Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, and Andreas Geiger

: The first public codebase for doing Reinforcement Learning with the CARLA autonomous driving simulator leaderboard. : CaRL: Learning Scalable Planning Policies with Simple

: The paper introduces CaRL , a reinforcement learning (RL) planner for autonomous driving. It achieves state-of-the-art results on benchmarks like longest6 v2 and nuPlan , significantly outperforming prior methods such as "Roach" by reducing collisions and improving planning efficiency. Software and Resources

: A 2025 framework designed to improve Large Language Models' adherence to task constraints in planning problems like "BlocksWorld" and "TravelPlanner". Software and Resources : A 2025 framework designed

: Weights for the CaRL planner, which is noted as a top open-source RL planner for urban driving scenarios.